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A Statistical Neural Field Approach To Orientation Selectivity
Citation key Adorja1999a
Author Adorjan, P. and Barna, G. and Erdi, P. and Obermayer, K.
Pages 313 – 318
Year 1999
DOI 10.1016/S0925-2312(99)00015-6
Journal Neurocomputing
Volume 26-27
Publisher Elsevier
Abstract We apply the recently proposed statistical neural field approach [Grobler \& Barna 1996, Erdi 1998] for modeling orientation selectivity in the primary visual cortex. Firstly, we demonstrate that the neural field approach is a powerful tool for modeling neural structures with specific lateral connections. Secondly, we test in a biologically more plausible way our hypothesis [Bauer et al. 1997, Adorjan et al. 1998], that orientation bias and tuning in macaque striate cortex can be generated by the same lateral interactions. The spiking neural model shows that (i) contrast invariant tuning emerges, and (ii) the tuning dynamics of the membrane potential and the firing rate are in accordance with observations which until now seemed to be contradictory [Celebrini et al. 1993, Pei et al. 1994, Ringach at al. 1997].
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